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Chen LC, Tan WY, Xi JY, Xie XH, Lin HC, Wang SB, Wu GH, Liu Y, Gu J, Jia FJ, Du ZC, Hao YT. Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia. Front Psychiatry 2024; 14:1324911. [PMID: 38274426 PMCID: PMC10808501 DOI: 10.3389/fpsyt.2023.1324911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Objective To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia. Methods A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases. Results Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients. Conclusion The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.
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Affiliation(s)
- Li-Chang Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wen-Yan Tan
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jun-Yan Xi
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xin-Hui Xie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hai-Cheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Shi-Bin Wang
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Gong-Hua Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yu Liu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fu-Jun Jia
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Cheng Du
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuan-Tao Hao
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
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Sakai Y, Ito S, Matsumoto J, Yasuda Y, Yamamori H, Fujimoto M, Hasegawa N, Ishimaru K, Miura K, Hashimoto R. Longitudinal characteristics of insight and clinical factors in patients with schizophrenia. Neuropsychopharmacol Rep 2023; 43:373-381. [PMID: 37377437 PMCID: PMC10496067 DOI: 10.1002/npr2.12356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/11/2023] [Accepted: 05/20/2023] [Indexed: 06/29/2023] Open
Abstract
AIMS Schizophrenia is a psychiatric disorder presenting a lack of insight. Although insight changes over time, longitudinal studies of insight in schizophrenia are scarce. Furthermore, most previous studies on insight and intelligence have not measured full-scale IQ and have not been able to examine the relationship between detailed dimensions of cognitive function and insight. In this study, we assessed insight at two time points and assessed dimensions of cognitive function. METHODS A total of 163 patients with schizophrenia participated in the study. We evaluated insight at two time points to understand the patterns of change and examined the association between insight and clinical variables. Additionally, we examined the relationship between the dimensions of cognitive function and insight. RESULTS The patients were divided into three groups based on their change in insight over time: stable at a low level of insight (poor insight), stable at a high level of insight (good insight), and changed in insight over time (unstable insight). Those in the poor insight group had lower general intelligence scores than those in the good insight and unstable insight groups. Regarding cognitive function, verbal comprehension was associated with the level of insight at baseline and follow-up. Regarding psychiatric symptoms, the poor insight group exhibited more severe symptoms than the other two groups, especially regarding positive symptoms. CONCLUSIONS Our classification of patients based on changes in insight revealed that poor insight patients had impaired cognitive function, especially verbal comprehension, and more severe positive symptoms than good insight or unstable insight patients.
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Affiliation(s)
- Yoshie Sakai
- Department of Clinical Psychology, Faculty of PsychologyAtomi UniversityTokyoJapan
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Satsuki Ito
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
- The Division of Human Developmental Sciences, Department of Developmental and Clinical Psychology, Graduate School of Humanity and SciencesOchanomizu UniversityTokyoJapan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
- Life Grow Brilliant Mental ClinicMedical Corporation FosterOsakaJapan
| | - Hidenaga Yamamori
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
- Department of PsychiatryOsaka University, Graduate School of MedicineOsakaJapan
- Japan Community Health Care Organization Osaka HospitalOsakaJapan
| | - Michiko Fujimoto
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
- Department of PsychiatryOsaka University, Graduate School of MedicineOsakaJapan
| | - Naomi Hasegawa
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Keiichiro Ishimaru
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
- Faculty of Core ResearchOchanomizu UniversityTokyoJapan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
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Tomé-Fernández M, Berbegal-Bernabeu M, Sánchez-Sansegundo M, Zaragoza-Martí A, Rubio-Aparicio M, Portilla-Tamarit I, Rumbo-Rodríguez L, Hurtado-Sánchez JA. Neurocognitive Suicide and Homicide Markers in Patients with Schizophrenia Spectrum Disorders: A Systematic Review. Behav Sci (Basel) 2023; 13:446. [PMID: 37366698 DOI: 10.3390/bs13060446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/19/2023] [Accepted: 05/21/2023] [Indexed: 06/28/2023] Open
Abstract
Suicide and homicide are considered important problems in public health. This study aims to identify the cognitive performance of suicidal and homicidal behaviors in people with schizophrenia spectrum disorders, as well as examining whether there are shared neuropsychological mechanisms. A systematic review of the recent literature was carried out from September 2012 to June 2022 using the Medline (via PubMed), Scopus, Embase, and Cochrane databases. Among the 870 studies initially identified, 23 were finally selected (15 related to suicidal behaviors and 8 to homicidal behaviors). The results evidenced a relationship between impairment of cognitive performance and homicidal behavior; meanwhile, for suicidal behaviors, no consistent results were found. High neuropsychological performance seems to act as a protective factor against violent behavior in people with schizophrenia spectrum disorders, but not against suicidal behavior; indeed, it can even act as a risk factor for suicidal behavior. To date, there is insufficient evidence that shared neurocognitive mechanisms exist. However, processing speed and visual memory seem to be affected in the presence of both behaviors.
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Affiliation(s)
- Mario Tomé-Fernández
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Marina Berbegal-Bernabeu
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Miriam Sánchez-Sansegundo
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Ana Zaragoza-Martí
- Department of Nursing, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - María Rubio-Aparicio
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Irene Portilla-Tamarit
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Lorena Rumbo-Rodríguez
- Department of Nursing, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
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Granero R, Fernández-Aranda F, Demetrovics Z, Lara-Huallipe M, Morón-Fernández A, Jiménez-Murcia S. Network Analysis of the Structure of the Core Symptoms and Clinical Correlates in Comorbid Schizophrenia and Gambling Disorder. Int J Ment Health Addict 2022:1-27. [PMID: 36589470 PMCID: PMC9794112 DOI: 10.1007/s11469-022-00983-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/05/2022] [Indexed: 12/28/2022] Open
Abstract
Few studies have analyzed the clinical profile of treatment-seeking patients with the comorbid presence of schizophrenia (SCZ) and gambling disorder (GD), which warrants new research to assess the network structure of this complex mental condition. The aim of this study was to explore the organization of the symptoms and other clinical correlates of SCZ with GD. Network analysis was applied to a sample of N = 179 SCZ patients (age range: 19-70 years, mean=39.5, SD=9.9) who met clinical criteria for gambling disorder-related problems. Variables included in the network were the core GD symptoms according to the DSM-5, psychotic and paranoid ideation levels, global psychological distress, GD severity measures (debts and illegal behavior related with gambling), substances (tobacco, alcohol, and illegal drugs), and personality profile. The nodes with the highest authority in the network (variables of highest relevance) were personality traits and psychological distress. Four empirical modules/clusters were identified, and linkage analysis identified the nodes with the highest closeness (bridge nodes) to be novelty seeking and reward dependence (these traits facilitate the transition between the modules). Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat SCZ with GD. Supplementary Information The online version contains supplementary material available at 10.1007/s11469-022-00983-y.
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Affiliation(s)
- Roser Granero
- Department of Psychobiology and Methodology, Universitat Autònoma de Barcelona - UAB, Barcelona, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Spain
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Spain
- Department of Psychiatry, Hospital Universitari de Bellvitge-IDIBELL and CIBERObn, c/ Feixa Llarga s/n, 08907, L’Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, Universitat de Barcelona - UB, L’Hospitalet de Llobregat, Spain
| | - Zsolt Demetrovics
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Milagros Lara-Huallipe
- Department of Psychiatry, Hospital Universitari de Bellvitge-IDIBELL and CIBERObn, c/ Feixa Llarga s/n, 08907, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Alex Morón-Fernández
- Faculty of Psychology, Universitat Autònoma de Barcelona - UAB, Barcelona, Spain
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Spain
- Department of Psychiatry, Hospital Universitari de Bellvitge-IDIBELL and CIBERObn, c/ Feixa Llarga s/n, 08907, L’Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, Universitat de Barcelona - UB, L’Hospitalet de Llobregat, Spain
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